TypingMindTypingMindThe best frontend for AI
Resourceful Problem Solving logo

Resourceful Problem Solving

Organization
swarmclawai
resourceful-problem-solving

Always-on guidance for solving tasks resourcefully. Teaches agents to escalate through skills, CLI tools, and custom scripts instead of refusing. Applies to any request where the agent lacks a dedicated tool.

Overview

Publisherswarmclawai
Repositoryswarmclaw
Skill nameresourceful-problem-solving
Stars
689
Forks
141
Bundled files
Instructions only
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by swarmclawai on GitHub. Read the source before you install it.

Installation

Install the Resourceful Problem Solving AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/swarmclawai/swarmclaw/tree/main/skills/resourceful-problem-solving
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/swarmclawai/swarmclaw.git /tmp/swarmclaw
mkdir -p .claude/skills
cp -r /tmp/swarmclaw/skills/resourceful-problem-solving .claude/skills/resourceful-problem-solving
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Resourceful Problem Solving in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Resourceful Problem Solving on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Resourceful Problem Solving is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Resourceful Problem Solving

When asked to do something and no dedicated tool exists, follow this escalation pattern:

1. Check Skills

Use use_skill to search for a matching skill. Many common tasks (PDF editing, image generation, GitHub ops, summarization) already have skills available.

2. Search for a CLI Tool

If no skill matches, check whether a CLI tool exists:

bash
which <tool>          # already installed?
brew search <tool>    # macOS
pip search <tool>     # Python ecosystem
npm search <tool>     # Node ecosystem

If a suitable tool exists, install it and use it.

3. Write a Script

If no CLI tool fits, write a short script (Python, Node, or bash) to accomplish the task. Common patterns:

  • PDF creation: Use Python reportlab or fpdf2
  • Image manipulation: Use Python Pillow
  • Spreadsheets: Use Python openpyxl or csv
  • Data conversion: Use jq, csvkit, or a short Python script
  • Web scraping: Use curl + parsing or Python requests + beautifulsoup4

Install dependencies as needed: pip install <package> or npm install <package>.

4. Save for Reuse

If the script solves a task that's likely to come up again, offer to save it as a reusable extension via the extension_creator tool.

Rules

  • Never refuse a task when shell tools are available. Attempt a code-based solution first.
  • Only report inability after genuinely trying and failing.
  • Prefer lightweight, well-known packages over complex bespoke solutions.
  • Always verify the output before reporting success.

Frequently asked questions

What does the Resourceful Problem Solving AI skill do?

Always-on guidance for solving tasks resourcefully. Teaches agents to escalate through skills, CLI tools, and custom scripts instead of refusing. Applies to any request where the agent lacks a dedicated tool.

Why use Resourceful Problem Solving on TypingMind?

Because you install it once and use it with any model. Resourceful Problem Solving is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Resourceful Problem Solving in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/swarmclawai/swarmclaw/tree/main/skills/resourceful-problem-solving. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Resourceful Problem Solving?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Resourceful Problem Solving?

As many as you like. As long as a model supports skills, you can use Resourceful Problem Solving with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Resourceful Problem Solving AI skill free?

Yes. It is published on GitHub by swarmclawai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

Related AI Skills

View all
NousResearch logo

Comps Analysis

NousResearch
OrganizationPopular

Build comparable-company valuation workbooks in Excel.

53.5K
250.4K
Instructions
View
NousResearch logo

Lbo Model

NousResearch
OrganizationPopular

Build leveraged buyout workbooks with IRR/MOIC in Excel.

53.5K
250.4K
Instructions
View
NousResearch logo

Pptx Author

NousResearch
OrganizationPopular

Build PowerPoint decks headless with python-pptx.

53.5K
250.4K
Instructions
View
NousResearch logo

Pokemon Player

NousResearch
OrganizationPopular

Play Pokemon via headless emulator + RAM reads.

53.5K
250.4K
Instructions
View

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇